Eric Zhou

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Jackson Callaghan, Colleen H. Xu, Jiwen Xin, Marco Alvarado Cano, Anders Riutta, Eric Zhou, Rohan Juneja, Yao Yao, Madhumita Narayan, Kristina Hanspers, Ayushi Agrawal, Alexander R. Pico, Chunlei Wu, Andrew I. Su
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs. Bioinform. 39 (9) (2023)
Jackson Callaghan, Colleen H. Xu, Jiwen Xin, Marco Alvarado Cano, Anders Riutta, Eric Zhou, Rohan Juneja, Yao Yao, Madhumita Narayan, Kristina Hanspers, Ayushi Agrawal, Alexander R. Pico, Chunlei Wu, Andrew I. Su
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs. CoRR (2023)
Eric Zhou, Nuoxi Li, Bingsen Liu, Yunbing Chen
Watching Opera at Your Own Ease - A Virtual Character Experience System for Intelligent Opera Facial Makeup. CCHI (2023)
George Barlow, David Mollenhauer, Eric Zhou, John Whitcomb, Scott E. Stapleton
Inducing Fiber Entanglement to Achieve Realistic Tow Fiber Volume Fractions in Textile Reinforced Composite Models. Comput. Aided Des. 162 (2023)
Zexin Chen, Eric Zhou, Kenneth Eaton, Xiangyu Peng, Mark O. Riedl
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories. CoRR (2023)
Claire M. Starling, Daniel Greenberg, Eric Zhou, Daniel Lewin, Allison S. Morrow, Daniel Lieberman, Callen Shaw, Hannah Arem
Testing delivery of components of cognitive behavioral therapy for insomnia to breast cancer survivors by smart speaker: a study protocol. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. ICLR (2020)
Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. CoRR (2020)
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection. CoRR (2020)
Laming Chen, Guoxin Zhang, Eric Zhou
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity. NeurIPS (2018)